Shaden Smith

1.3k total citations
19 papers, 564 citations indexed

About

Shaden Smith is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Shaden Smith has authored 19 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mathematics, 6 papers in Hardware and Architecture and 4 papers in Computer Networks and Communications. Recurrent topics in Shaden Smith's work include Tensor decomposition and applications (14 papers), Parallel Computing and Optimization Techniques (6 papers) and Graph Theory and Algorithms (3 papers). Shaden Smith is often cited by papers focused on Tensor decomposition and applications (14 papers), Parallel Computing and Optimization Techniques (6 papers) and Graph Theory and Algorithms (3 papers). Shaden Smith collaborates with scholars based in United States, United Kingdom and Israel. Shaden Smith's co-authors include George Karypis, Niranjay Ravindran, Nicholas D. Sidiropoulos, Jongsoo Park, Zhiru Zhang, Nitish Srivastava, David H. Albonesi, Hongbo Rong, Hanchen Jin and Fabrizio Petrini and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Parallel Computing.

In The Last Decade

Shaden Smith

19 papers receiving 550 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shaden Smith United States	13	353	329	220	119	88	19	564
Aravind Sukumaran-Rajam United States	14	109 0.3×	315 1.0×	171 0.8×	196 1.6×	161 1.8×	34	485
David Lugato France	7	67 0.2×	200 0.6×	108 0.5×	112 0.9×	65 0.7×	15	325
Nicolas Vasilache United States	11	75 0.2×	584 1.8×	206 0.9×	360 3.0×	95 1.1×	16	763
Riyadh Baghdadi United States	9	30 0.1×	235 0.7×	148 0.7×	122 1.0×	187 2.1×	21	431
Vinod Grover United States	15	18 0.1×	488 1.5×	145 0.7×	345 2.9×	70 0.8×	25	579
Amik Singh United States	6	19 0.1×	409 1.2×	88 0.4×	348 2.9×	53 0.6×	6	507
Ernie Chan United States	12	19 0.1×	435 1.3×	125 0.6×	401 3.4×	67 0.8×	15	609
Ian Karlin United States	12	16 0.0×	376 1.1×	63 0.3×	339 2.8×	23 0.3×	39	518
Tobias Grosser Switzerland	14	19 0.1×	631 1.9×	215 1.0×	399 3.4×	71 0.8×	46	761
Rajesh Nishtala United States	11	19 0.1×	471 1.4×	65 0.3×	785 6.6×	39 0.4×	17	894

Countries citing papers authored by Shaden Smith

Since Specialization

Citations

This map shows the geographic impact of Shaden Smith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaden Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaden Smith more than expected).

Fields of papers citing papers by Shaden Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaden Smith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaden Smith. The network helps show where Shaden Smith may publish in the future.

Co-authorship network of co-authors of Shaden Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Shaden Smith. A scholar is included among the top collaborators of Shaden Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaden Smith. Shaden Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Li, Zhuliu, Raphael Petegrosso, Shaden Smith, et al.. (2021). Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Transactions on Knowledge and Data Engineering. 34(12). 5964–5978. 3 indexed citations

Flick, Patrick, Xing Liu, Shaden Smith, et al.. (2021). High Performance Streaming Tensor Decomposition. 683–692. 3 indexed citations

Srivastava, Nitish, Hanchen Jin, Shaden Smith, et al.. (2020). Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations. 689–702. 78 indexed citations

Choi, Jee, et al.. (2018). Blocking Optimization Techniques for Sparse Tensor Computation. Maryland Shared Open Access Repository (USMAI Consortium). 568–577. 18 indexed citations

Smith, Shaden, Jongsoo Park, & George Karypis. (2017). HPC formulations of optimization algorithms for tensor completion. Parallel Computing. 74. 99–117. 7 indexed citations

Sundaram, Narayanan, Nesreen K. Ahmed, Shaden Smith, et al.. (2017). Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. 1–7. 18 indexed citations

Smith, Shaden, et al.. (2017). Truss decomposition on shared-memory parallel systems. 1–6. 30 indexed citations

Smith, Shaden, Jongsoo Park, & George Karypis. (2017). Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory. 1058–1067. 26 indexed citations

Smith, Shaden, et al.. (2017). Constrained Tensor Factorization with Accelerated AO-ADMM. 111–120. 18 indexed citations

10.

Anderson, Michael, Shaden Smith, Narayanan Sundaram, et al.. (2017). Bridging the gap between HPC and big data frameworks. Proceedings of the VLDB Endowment. 10(8). 901–912. 36 indexed citations

11.

Smith, Shaden & George Karypis. (2016). A Medium-Grained Algorithm for Distributed Sparse Tensor Factorization. University of Minnesota Digital Conservancy (University of Minnesota). 24 indexed citations

12.

Anastasiu, David C., et al.. (2016). Big Data and Recommender Systems. University of Minnesota Digital Conservancy (University of Minnesota). 237. 39–45. 5 indexed citations

13.

Smith, Shaden & George Karypis. (2016). A Medium-Grained Algorithm for Sparse Tensor Factorization. 902–911. 29 indexed citations

14.

Smith, Shaden, Jongsoo Park, & George Karypis. (2016). An Exploration of Optimization Algorithms for High Performance Tensor Completion. 359–371. 14 indexed citations

15.

Smith, Shaden & George Karypis. (2015). DMS: Distributed Sparse Tensor Factorization with Alternating Least Squares. University of Minnesota Digital Conservancy (University of Minnesota). 3 indexed citations

16.

Smith, Shaden, Niranjay Ravindran, Nicholas D. Sidiropoulos, & George Karypis. (2015). SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication. 61–70. 136 indexed citations

17.

Smith, Shaden & George Karypis. (2015). Tensor-matrix products with a compressed sparse tensor. 1–7. 89 indexed citations

18.

Ravindran, Niranjay, Nicholas D. Sidiropoulos, Shaden Smith, & George Karypis. (2014). Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition. 2014 48th Asilomar Conference on Signals, Systems and Computers. 581–585. 25 indexed citations

19.

Flaska, Marek, et al.. (2009). Measurements of continuous-in-energy neutron sources using the BC-523A capture-gated liquid scintillator. 476. 940–943. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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